code: def backward(ctx, grad):
      (x,) = ctx.saved_tensors
      return grad / x.clamp(min=torch.finfo(x.dtype).eps)
  
file_path: pyro/pyro/ops/special.py
imports: import functools
  import math
  import operator
  import weakref
  from typing import Dict
  import numpy
  import torch
  from numpy.polynomial.hermite import hermgauss
label_desc: Use image node_id 2 for calling the _SafeLog obj's underlying member method code with example usage: obj.backward(ctx, grad) and returns: unknown